Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (readOnly/idempotent/openWorld already tell the agent this is a safe external read), the description adds genuinely useful behavior: the data source (DexScreener), the $2,000 liquidity inclusion rule, and the fact that the response carries the data's age so staleness is visible. It stops short of stating rate limits or result-count limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense sentence with the scope qualifier front-loaded and every clause contributing (inclusion rule, field list, source, freshness). Nothing is repeated or padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description carries the burden of describing returns, and it does so by enumerating the metrics and flagging data age. It could still say roughly how many launches come back or how results are ordered, which is the one gap an agent would hit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so per the baseline there is nothing for the description to disambiguate. The implicit 'no filters' behavior is consistent with the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description precisely scopes the resource: IMD plus every IMD launch on Ethereum meeting a $2,000 liquidity floor, and enumerates the returned metrics (price, liquidity, 24h volume, 1h/24h change, pool fee, chart link). It's clear what the tool yields, but it never distinguishes itself from plausible siblings like imd_feed, imd_feed_sample, or token_price, so an agent must infer the difference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use or when-not-to-use guidance and no named alternative. The liquidity threshold describes the result set, not when an agent should choose this tool over token_price for a single price or imd_feed for feed content.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.